Breast Cancer Dataset

Dataset statistics

Number of variables	11
Number of observations	698
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	8
Duplicate rows (%)	1.1%
Total size in memory	94.3 KiB
Average record size in memory	138.4 B

Variable types

Numeric	9
Categorical	2

Alerts

Dataset has 8 (1.1%) duplicate rows	Duplicates
`Clump_Thickness` is highly overall correlated with `Uniformity_of_Cell_Size` and 6 other fields	High correlation
`Uniformity_of_Cell_Size` is highly overall correlated with `Clump_Thickness` and 7 other fields	High correlation
`Uniformity_of_Cell_Shape` is highly overall correlated with `Clump_Thickness` and 6 other fields	High correlation
`Marginal_Adhesion` is highly overall correlated with `Clump_Thickness` and 6 other fields	High correlation
`Single_Epithelial_Cell_Size` is highly overall correlated with `Clump_Thickness` and 6 other fields	High correlation
`Bland_Chromatin` is highly overall correlated with `Clump_Thickness` and 6 other fields	High correlation
`Normal_Nucleoli` is highly overall correlated with `Clump_Thickness` and 7 other fields	High correlation
`Mitoses` is highly overall correlated with `Uniformity_of_Cell_Size` and 2 other fields	High correlation
`Bare_Nuclei` is highly overall correlated with `Class`	High correlation
`Class` is highly overall correlated with `Clump_Thickness` and 8 other fields	High correlation

Reproduction

Analysis started	2023-02-19 23:42:45.796734
Analysis finished	2023-02-19 23:42:54.293769
Duration	8.5 seconds
Software version	pandas-profiling v3.6.6
Download configuration	config.json

Sample_code_number
Real number (ℝ)

Distinct	644
Distinct (%)	92.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1071806.8

Minimum	61634
Maximum	13454352
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	61634
5-th percentile	411453
Q1	870258.25
median	1171710
Q3	1238354
95-th percentile	1333897.7
Maximum	13454352
Range	13392718
Interquartile range (IQR)	368095.75

Descriptive statistics

Standard deviation	617532.27
Coefficient of variation (CV)	0.57616007
Kurtosis	257.34775
Mean	1071806.8
Median Absolute Deviation (MAD)	104381
Skewness	13.665481
Sum	7.4812114 × 10⁸
Variance	3.8134611 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1182404	6	0.9%
1276091	5	0.7%
1198641	3	0.4%
897471	2	0.3%
1114570	2	0.3%
1100524	2	0.3%
733639	2	0.3%
1240603	2	0.3%
1105524	2	0.3%
704097	2	0.3%
Other values (634)	670	96.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
61634	1	0.1%
63375	1	0.1%
76389	1	0.1%
95719	1	0.1%
128059	1	0.1%
142932	1	0.1%
144888	1	0.1%
145447	1	0.1%
160296	1	0.1%
167528	1	0.1%

Value	Count	Frequency (%)
13454352	1	0.1%
8233704	1	0.1%
1371920	1	0.1%
1371026	1	0.1%
1369821	1	0.1%
1368882	1	0.1%
1368273	1	0.1%
1368267	1	0.1%
1365328	1	0.1%
1365075	1	0.1%

Clump_Thickness
Real number (ℝ)

Distinct	10
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.4169054

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	4
Q3	6
95-th percentile	10
Maximum	10
Range	9
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.8176734
Coefficient of variation (CV)	0.6379293
Kurtosis	-0.62613125
Mean	4.4169054
Median Absolute Deviation (MAD)	2
Skewness	0.59336867
Sum	3083
Variance	7.9392834
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	145	20.8%
5	129	18.5%
3	108	15.5%
4	80	11.5%
10	69	9.9%
2	50	7.2%
8	46	6.6%
6	34	4.9%
7	23	3.3%
9	14	2.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	145	20.8%
2	50	7.2%
3	108	15.5%
4	80	11.5%
5	129	18.5%
6	34	4.9%
7	23	3.3%
8	46	6.6%
9	14	2.0%
10	69	9.9%

Value	Count	Frequency (%)
10	69	9.9%
9	14	2.0%
8	46	6.6%
7	23	3.3%
6	34	4.9%
5	129	18.5%
4	80	11.5%
3	108	15.5%
2	50	7.2%
1	145	20.8%

Uniformity_of_Cell_Size
Real number (ℝ)

Distinct	10
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.1375358

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	5
95-th percentile	10
Maximum	10
Range	9
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.0525753
Coefficient of variation (CV)	0.97292126
Kurtosis	0.09341847
Mean	3.1375358
Median Absolute Deviation (MAD)	0
Skewness	1.2310346
Sum	2190
Variance	9.318216
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	383	54.9%
10	67	9.6%
3	52	7.4%
2	45	6.4%
4	40	5.7%
5	30	4.3%
8	29	4.2%
6	27	3.9%
7	19	2.7%
9	6	0.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	383	54.9%
2	45	6.4%
3	52	7.4%
4	40	5.7%
5	30	4.3%
6	27	3.9%
7	19	2.7%
8	29	4.2%
9	6	0.9%
10	67	9.6%

Value	Count	Frequency (%)
10	67	9.6%
9	6	0.9%
8	29	4.2%
7	19	2.7%
6	27	3.9%
5	30	4.3%
4	40	5.7%
3	52	7.4%
2	45	6.4%
1	383	54.9%

Uniformity_of_Cell_Shape
Real number (ℝ)

Distinct	10
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.2106017

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	5
95-th percentile	10
Maximum	10
Range	9
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.9728667
Coefficient of variation (CV)	0.92595312
Kurtosis	0.0020723518
Mean	3.2106017
Median Absolute Deviation (MAD)	0
Skewness	1.1597997
Sum	2241
Variance	8.8379362
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	352	50.4%
2	59	8.5%
10	58	8.3%
3	56	8.0%
4	44	6.3%
5	34	4.9%
6	30	4.3%
7	30	4.3%
8	28	4.0%
9	7	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	352	50.4%
2	59	8.5%
3	56	8.0%
4	44	6.3%
5	34	4.9%
6	30	4.3%
7	30	4.3%
8	28	4.0%
9	7	1.0%
10	58	8.3%

Value	Count	Frequency (%)
10	58	8.3%
9	7	1.0%
8	28	4.0%
7	30	4.3%
6	30	4.3%
5	34	4.9%
4	44	6.3%
3	56	8.0%
2	59	8.5%
1	352	50.4%

Marginal_Adhesion
Real number (ℝ)

Distinct	10
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.8094556

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	4
95-th percentile	10
Maximum	10
Range	9
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.8566059
Coefficient of variation (CV)	1.0167827
Kurtosis	0.98105377
Mean	2.8094556
Median Absolute Deviation (MAD)	0
Skewness	1.5223334
Sum	1961
Variance	8.1601974
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	406	58.2%
3	58	8.3%
2	58	8.3%
10	55	7.9%
4	33	4.7%
8	25	3.6%
5	23	3.3%
6	22	3.2%
7	13	1.9%
9	5	0.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	406	58.2%
2	58	8.3%
3	58	8.3%
4	33	4.7%
5	23	3.3%
6	22	3.2%
7	13	1.9%
8	25	3.6%
9	5	0.7%
10	55	7.9%

Value	Count	Frequency (%)
10	55	7.9%
9	5	0.7%
8	25	3.6%
7	13	1.9%
6	22	3.2%
5	23	3.3%
4	33	4.7%
3	58	8.3%
2	58	8.3%
1	406	58.2%

Single_Epithelial_Cell_Size
Real number (ℝ)

Distinct	10
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.217765

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2
Q3	4
95-th percentile	8
Maximum	10
Range	9
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.2154083
Coefficient of variation (CV)	0.68849288
Kurtosis	2.1606238
Mean	3.217765
Median Absolute Deviation (MAD)	0
Skewness	1.709935
Sum	2246
Variance	4.908034
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
2	385	55.2%
3	72	10.3%
4	48	6.9%
1	47	6.7%
6	41	5.9%
5	39	5.6%
10	31	4.4%
8	21	3.0%
7	12	1.7%
9	2	0.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	47	6.7%
2	385	55.2%
3	72	10.3%
4	48	6.9%
5	39	5.6%
6	41	5.9%
7	12	1.7%
8	21	3.0%
9	2	0.3%
10	31	4.4%

Value	Count	Frequency (%)
10	31	4.4%
9	2	0.3%
8	21	3.0%
7	12	1.7%
6	41	5.9%
5	39	5.6%
4	48	6.9%
3	72	10.3%
2	385	55.2%
1	47	6.7%

Bare_Nuclei
Categorical

Distinct	11
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	39.8 KiB

1	401
10	132
2	30
5	30
3	28
Other values (6)	77

Length

Max length	2
Median length	1
Mean length	1.1891117
Min length	1

Characters and Unicode

Total characters	830
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	10
2nd row	2
3rd row	4
4th row	1
5th row	10

Common Values

Value	Count	Frequency (%)
1	401	57.4%
10	132	18.9%
2	30	4.3%
5	30	4.3%
3	28	4.0%
8	21	3.0%
4	19	2.7%
?	16	2.3%
9	9	1.3%
7	8	1.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1	401	57.4%
10	132	18.9%
2	30	4.3%
5	30	4.3%
3	28	4.0%
8	21	3.0%
4	19	2.7%
	16	2.3%
9	9	1.3%
7	8	1.1%

Most occurring characters

Value	Count	Frequency (%)
1	533	64.2%
0	132	15.9%
2	30	3.6%
5	30	3.6%
3	28	3.4%
8	21	2.5%
4	19	2.3%
?	16	1.9%
9	9	1.1%
7	8	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	814	98.1%
Other Punctuation	16	1.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	533	65.5%
0	132	16.2%
2	30	3.7%
5	30	3.7%
3	28	3.4%
8	21	2.6%
4	19	2.3%
9	9	1.1%
7	8	1.0%
6	4	0.5%

Other Punctuation

Value	Count	Frequency (%)
?	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	830	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	533	64.2%
0	132	15.9%
2	30	3.6%
5	30	3.6%
3	28	3.4%
8	21	2.5%
4	19	2.3%
?	16	1.9%
9	9	1.1%
7	8	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	830	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	533	64.2%
0	132	15.9%
2	30	3.6%
5	30	3.6%
3	28	3.4%
8	21	2.5%
4	19	2.3%
?	16	1.9%
9	9	1.1%
7	8	1.0%

Bland_Chromatin
Real number (ℝ)

Distinct	10
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4383954

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	3
Q3	5
95-th percentile	8
Maximum	10
Range	9
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.4400564
Coefficient of variation (CV)	0.70964973
Kurtosis	0.17921858
Mean	3.4383954
Median Absolute Deviation (MAD)	1
Skewness	1.0984966
Sum	2400
Variance	5.9538752
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
2	166	23.8%
3	164	23.5%
1	152	21.8%
7	73	10.5%
4	40	5.7%
5	34	4.9%
8	28	4.0%
10	20	2.9%
9	11	1.6%
6	10	1.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	152	21.8%
2	166	23.8%
3	164	23.5%
4	40	5.7%
5	34	4.9%
6	10	1.4%
7	73	10.5%
8	28	4.0%
9	11	1.6%
10	20	2.9%

Value	Count	Frequency (%)
10	20	2.9%
9	11	1.6%
8	28	4.0%
7	73	10.5%
6	10	1.4%
5	34	4.9%
4	40	5.7%
3	164	23.5%
2	166	23.8%
1	152	21.8%

Normal_Nucleoli
Real number (ℝ)

Distinct	10
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.8696275

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	4
95-th percentile	10
Maximum	10
Range	9
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	3.0550042
Coefficient of variation (CV)	1.0645995
Kurtosis	0.46782665
Mean	2.8696275
Median Absolute Deviation (MAD)	0
Skewness	1.4200863
Sum	2003
Variance	9.3330504
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	442	63.3%
10	61	8.7%
3	44	6.3%
2	36	5.2%
8	24	3.4%
6	22	3.2%
5	19	2.7%
4	18	2.6%
7	16	2.3%
9	16	2.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	442	63.3%
2	36	5.2%
3	44	6.3%
4	18	2.6%
5	19	2.7%
6	22	3.2%
7	16	2.3%
8	24	3.4%
9	16	2.3%
10	61	8.7%

Value	Count	Frequency (%)
10	61	8.7%
9	16	2.3%
8	24	3.4%
7	16	2.3%
6	22	3.2%
5	19	2.7%
4	18	2.6%
3	44	6.3%
2	36	5.2%
1	442	63.3%

Mitoses
Real number (ℝ)

Distinct	9
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.5902579

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	5
Maximum	10
Range	9
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.7161624
Coefficient of variation (CV)	1.0791724
Kurtosis	12.633842
Mean	1.5902579
Median Absolute Deviation (MAD)	0
Skewness	3.5576034
Sum	1110
Variance	2.9452134
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
1	578	82.8%
2	35	5.0%
3	33	4.7%
10	14	2.0%
4	12	1.7%
7	9	1.3%
8	8	1.1%
5	6	0.9%
6	3	0.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	578	82.8%
2	35	5.0%
3	33	4.7%
4	12	1.7%
5	6	0.9%
6	3	0.4%
7	9	1.3%
8	8	1.1%
10	14	2.0%

Value	Count	Frequency (%)
10	14	2.0%
8	8	1.1%
7	9	1.3%
6	3	0.4%
5	6	0.9%
4	12	1.7%
3	33	4.7%
2	35	5.0%
1	578	82.8%

Class
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	39.7 KiB

2	457
4	241

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	698
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	4

Common Values

Value	Count	Frequency (%)
2	457	65.5%
4	241	34.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	457	65.5%
4	241	34.5%

Most occurring characters

Value	Count	Frequency (%)
2	457	65.5%
4	241	34.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	698	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	457	65.5%
4	241	34.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	698	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	457	65.5%
4	241	34.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	698	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	457	65.5%
4	241	34.5%

Auto

Heatmap
Table

	Sample_code_number	Clump_Thickness	Uniformity_of_Cell_Size	Uniformity_of_Cell_Shape	Marginal_Adhesion	Single_Epithelial_Cell_Size	Bland_Chromatin	Normal_Nucleoli	Mitoses	Bare_Nuclei	Class
Sample_code_number	1.000	-0.004	-0.044	-0.061	-0.050	-0.088	-0.096	-0.072	-0.076	0.000	0.000
Clump_Thickness	-0.004	1.000	0.667	0.665	0.542	0.585	0.538	0.571	0.419	0.223	0.738
Uniformity_of_Cell_Size	-0.044	0.667	1.000	0.892	0.742	0.787	0.720	0.757	0.509	0.287	0.875
Uniformity_of_Cell_Shape	-0.061	0.665	0.892	1.000	0.712	0.759	0.693	0.725	0.473	0.278	0.860
Marginal_Adhesion	-0.050	0.542	0.742	0.712	1.000	0.668	0.625	0.634	0.447	0.263	0.738
Single_Epithelial_Cell_Size	-0.088	0.585	0.787	0.759	0.668	1.000	0.640	0.706	0.480	0.270	0.791
Bland_Chromatin	-0.096	0.538	0.720	0.693	0.625	0.640	1.000	0.663	0.387	0.255	0.804
Normal_Nucleoli	-0.072	0.571	0.757	0.725	0.634	0.706	0.663	1.000	0.504	0.251	0.767
Mitoses	-0.076	0.419	0.509	0.473	0.447	0.480	0.387	0.504	1.000	0.193	0.519
Bare_Nuclei	0.000	0.223	0.287	0.278	0.263	0.270	0.255	0.251	0.193	1.000	0.834
Class	0.000	0.738	0.875	0.860	0.738	0.791	0.804	0.767	0.519	0.834	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	Sample_code_number	Clump_Thickness	Uniformity_of_Cell_Size	Uniformity_of_Cell_Shape	Marginal_Adhesion	Single_Epithelial_Cell_Size	Bare_Nuclei	Bland_Chromatin	Normal_Nucleoli	Mitoses	Class
0	1002945	5	4	4	5	7	10	3	2	1	2
1	1015425	3	1	1	1	2	2	3	1	1	2
2	1016277	6	8	8	1	3	4	3	7	1	2
3	1017023	4	1	1	3	2	1	3	1	1	2
4	1017122	8	10	10	8	7	10	9	7	1	4
5	1018099	1	1	1	1	2	10	3	1	1	2
6	1018561	2	1	2	1	2	1	3	1	1	2
7	1033078	2	1	1	1	2	1	1	1	5	2
8	1033078	4	2	1	1	2	1	2	1	1	2
9	1035283	1	1	1	1	1	1	3	1	1	2

	Sample_code_number	Clump_Thickness	Uniformity_of_Cell_Size	Uniformity_of_Cell_Shape	Marginal_Adhesion	Single_Epithelial_Cell_Size	Bare_Nuclei	Bland_Chromatin	Normal_Nucleoli	Mitoses	Class
688	654546	1	1	1	1	2	1	1	1	8	2
689	654546	1	1	1	3	2	1	1	1	1	2
690	695091	5	10	10	5	4	5	4	4	1	4
691	714039	3	1	1	1	2	1	1	1	1	2
692	763235	3	1	1	1	2	1	2	1	2	2
693	776715	3	1	1	1	3	2	1	1	1	2
694	841769	2	1	1	1	2	1	1	1	1	2
695	888820	5	10	10	3	7	3	8	10	2	4
696	897471	4	8	6	4	3	4	10	6	1	4
697	897471	4	8	8	5	4	5	10	4	1	4

Most frequently occurring

	Sample_code_number	Clump_Thickness	Uniformity_of_Cell_Size	Uniformity_of_Cell_Shape	Marginal_Adhesion	Single_Epithelial_Cell_Size	Bare_Nuclei	Bland_Chromatin	Normal_Nucleoli	Mitoses	Class	# duplicates
0	320675	3	3	5	2	3	10	7	1	1	4	2
1	466906	1	1	1	1	2	1	1	1	1	2	2
2	704097	1	1	1	1	1	1	2	1	1	2	2
3	1100524	6	10	10	2	8	10	7	3	3	4	2
4	1116116	9	10	10	1	10	8	3	3	1	4	2
5	1198641	3	1	1	1	2	1	3	1	1	2	2
6	1218860	1	1	1	1	1	1	3	1	1	2	2
7	1321942	5	1	1	1	2	1	3	1	1	2	2

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Missing values

Sample

Duplicate rows

Most frequently occurring